Wednesday, January 11, 2006
Additional reading:
Cory Casanave's paper on Data
Access
work on ontology for biological signal pathways
[126]
ß parallel discussion in
generative methodology bead thread
Discussion on informational invariance and complexity
First
part of this discussion
[342], [343], [344], [345], [346], [347], [348], [349], [350]
Communication from Azamat Abdoullaev
Judith Rosen wrote: ''The Rosennean definition of emergent behavior is a relational one. It has to do with the fact that an interactive relation between two or more things can cause effects (behaviors) that could never be predicted by the entailment of the things, themselves.''
Paul Werbos wrote: ''the Rosen definition clearly does NOT allow for emergent complexity. If one can start with simple underlying rules or axioms or dynamics (either in forwards time or symmetric time or hyper time), and generate all kinds of emergent complexity by applying these rules over a huge field of entities... I wouldn't want to rule that out a priori.''
Judith, Paul, Paul, and other honorable members of the listing,
The both positions are reconcilable, or rather the differences don't look as irreconcilable, being just two perspectives on one great problem. For no complexity is without emergent phenomena as well as no emergent phenomena is without nonlinear causal mechanisms (circular interactive causes and causal loops driving the nonlinear world).
Crucially, the world's dynamics consists in the total continuum of circular processes meaning the world state space is mapping into itself by a transformation function (or operation).
The self-mapping describes all sorts of real circularities and non-linearities, the key features of complex nonlinear systems as physical systems, organisms, intelligent systems, organizations, economies, and social systems, studied in cybernetics, mathematical dynamic systems, systems science, nonlinear physics, life sciences, and social sciences.
A crucial importance is commissioned to causal circularities as the network of mutually related causal processes encompassing various feedback cycles or loops, positive and negative, and thus driving all complex phenomena in the natural domain, conceptual universe, cultural region of social reality, or virtual world of computing machines. Thus, the dynamic nonlinear world is the entire networks (web) of interacting causal changes (processes, agents, factors, elements, or variables) reciprocally and reversibly convertible with each other.
Regards, Azamat Abdoullaev